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Research Fellow Position at Computational Networking (CompNet) Lab, SIST, ShanghaiTech University

The Computational Networking (CompNet) Lab in the School of Information Science and Technology at ShanghaiTech seeks highly motivated post-doctoral fellows(s) in areas of future data-oriented wireless network design and big data computation over networks. For exceptionally qualified candidates, research faculty positions could be considered. At ShanghaiTech, the CompNet Lab has state-of-the-art research/computation facilities and opportunities to collaborate with several top research institutes in the world, such as Stanford, Princeton, Berkeley, Duke, and CMU. The Lab also has access to one of the world’s best academic resources in the newly inaugurated ShanghaiTech University in the center of Shanghai’s Zhangjiang Hi-Tech Park. More about the university can be found at www.shanghaitech.edu.cn.

We seek highly motivated researchers for the above position with the following qualification requirements.

Websites of Profs. Ding and Cui:

http://sist.shanghaitech.edu.cn/shtech/people/1004.html

http://sist.shanghaitech.edu.cn/shtech/people/1021.html

Qualifications:

(1)PhD degree in electrical engineering, computer science, statistics, or related areas.

(2)Strong motivation to work in data science related research.

(3)Strong mathematical skills and algorithm computation experience.

(4)Good communication skills and capability of supervising research students.

(5)Fluent in oral and written English.

Application Procedure: Qualified applicants are invited to submit (in English) a cover letter, a CV, and a research plan to: sist@shanghaitech.edu.cn (CC to dingzhi@shanghaitech.edu.cn, cuishg@shanghaitech.edu.cn). We provide very competitive salary and benefits for this post, including relocation.

Deadline: Open until the position is filled.

Discipline: Computer Science, Engineering, Information Technology, Mathematics, Postdoctoral.

應(yīng)聘崗位請登錄：http://jobs.shanghaitech.edu.cn/job.asp?id=219

更多信息請查看上海市事業(yè)單位招聘網(wǎng)